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The purpose of this study is to identify the degree of participation and the impact of social media sports contact motivation on sports activities. In order to clarify the purpose of this study, a total of 300 students from 150 male and 150 female university students in Gwangju and Jeonnam provinces in 2020 were selected by the convenience sampling method. The survey tool used to achieve the purpose of this study is the questionnaire method. Therefore, the questionnaire, which has already been verified for reliability and validity in domestic and foreign previous studies, was re-quoted, modified, or supplemented for the purpose of this study. For data processing, SPSS Windows 20.0 Version was used. For specific statistical analysis, frequency analysis, exploratory factor analysis, reliability analysis, and multiple regression analysis were performed according to the purpose of analysis. The results obtained through these results are as follows. First, it was found that the contact motivation for social media sports partially affected the degree of participation in social media sports. Second, it was found that social media sports contact motivation has a partial influence on sports participation. Third, the degree of social media sports participation was found to have a partial influence on sports participation.

During last few years, pandemic of COVID-19 has been a global issue. Under the COVID-19, global events have been restricted or canceled to secure public hygiene and safety. Since one of the largest global events is Olympic Games, we selected recent Olympic Games as our case of analysis. Tokyo Olympic Games (TOG) was held in 2021, but it encountered a millennium disaster, the pandemic of COVID-19. In such a special period, it is of great significance to explore the emotional tendency of global views before and TOG via artificial intelligence. This paper vastly collects the TOG comment data of mainstream websites in South Korea, China, and the United States by implementing crawler program for sentiment analysis (SA). And we use a variety of sentiment analysis models to compare the accuracy of the experimental results, to obtain more reliable SA results. In addition, in the prediction results, to reduce the distortion of opinion by a minority, we introduce an algorithm called “Removing Biased Minority Opinions (RBMO)” and provide how to apply this method to the interpretation domain. Through our method, more authoritative SA results were obtained, which in turn provided a basis for predicting the sentiment tendency of countries around the world in TOG during the COVID-19 epidemic.

In this study, design of an intuitive internal resistance diagnostic device is to diagnose the residual capacity and aging of the battery regardless of the model and the internal protocol of the waste battery through the method of measuring the internal resistance of a waste battery. In this paper, charging and discharging were continuously performed with 2A charging and 5A discharging in order to secure data on impedance changes that may occur in the charging and discharging process of various methods. As a result of the final experiment, it was confirmed that the impedance change occurred during charging and discharging, and the amount of change increased as the charging/discharging C-rate increased. In addition, it was confirmed that the waste battery aged or abnormal cell had a large change in the impedance value.

This paper examines the change and its meaning of marketing strategy in business administration, which is changing along with the development of digital technology. Unlike conventional marketing, digital marketing is creating new relationships and making changes through a two-way approach rather than a one-way approach between producers and consumers. And these changes are creating new approaches not only in the problems between businesses and consumers, but also in the relationship between public institutions and citizens. In particular, the potential of platforms, which are emerging as important in digital management, is applied to public policies, and efforts are being made to establish marketing strategies for public institutions. One case of this was applied to the cultural contents industry and policy to examine specific measures and visions. The cultural big data platform is in line with digital management and continuously utilizes digital marketing strategies in the public domain, and aims to promote creative work as well as publicize it to citizens and workers in the cultural content industry. The synergy effect that will emerge from the combination of the cultural big data platform and digital management is expected to continue.

The NOx removal performance of the SCR process depends on various factors such as catalytic factors (catalyst composition, shape, space velocity, etc.), temperature and flow rate distribution of the exhaust gas. Among them, the uniformity of the flow flowing into the catalyst bed plays the most important role. In this study, the flow characteristics in the SCR reactor in the design stage were simulated using a three-dimensional numerical analysis technique to confirm the uniformity of the airflow. Due to the limitation of the installation space, the shape of the inlet duct was compared with the two types of inlet duct shape because there were many curved sections of the inlet duct and the duct size margin was not large. The effect of inlet duct shape, guide vane or mixer installation, and venturi shape change on SCR reactor internal flow, airflow uniformity, and space utilization rate of ammonia concentration were studied. It was found that the uniformity of the airflow reaching the catalyst layer was greatly improved when an inlet duct with a shape that could suppress drift was applied and guide vanes were installed in the curved part of the inlet duct to properly distribute the process gas. In addition, the space utilization rate was greatly improved when the duct at the rear of the nozzle was applied as a venturi type rather than a mixer for uniform distribution of ammonia gas.

The commercialization of the fifth generation (5G) mobile systems has quested enabling technologies, such as intelligent reflecting surface (IRS) transmissions, towards the sixth generation (6G) networks. In this paper, we present a bit-error rate (BER) performance analysis on IRS transmissions in 5G non-orthogonal multiple access (NOMA) networks. First, we derive a closed-form expression for the BER of IRS-NOMA transmissions under Rician fading channels. Then, by Monte Carlo simulations, we validate the proposed approximate BER expression, and show numerically that the derived BER expression is in good agreement with Monte Carlo simulations. Furthermore, we also analyze the BER performance of IRS-NOMA networks under Rician fading channels with different numbers of reflecting elements, and demonstrate that the performances improve monotonically as the number of reflecting devices increases.

This study aims to quantitatively understand the influence of changes in functional cosmetics purchasing sentiment on purchasing behavior and purchase satisfaction after the COVID-19 pandemic and present empirical analysis results regarding the rapidly changing cosmetics consumption market. This study empirically analyzed the structural relationship between non-face-to-face service purchase behavior, functional cosmetics purchase behavior, and functional cosmetics purchase satisfaction to predict purchase behavior of functional cosmetics by psychological characteristics after COVID-19. The collected data were analyzed using SPSS 22.0 (Statistical Package for Social Science) program and Amos 21.0, and correlation analysis was performed to understand the relationship between consumers' purchasing behaviors of functional cosmetics according to their perception of risk of COVID-19 carried out.Summarizing the results of this study, it was found that the higher the anxiety after the corona outbreak, the higher the non-face-to-face service purchase behavior and the functional cosmetics purchase behavior. It was found that purchase satisfaction increased when purchasing behavior of functional cosmetics increased, but purchase satisfaction decreased as anxiety increased after the outbreak of Corona.In this study, a sample of 1452 people were used as research data, and the theoretical implications for the development of functional cosmetics were presented by confirming the effect of changes in non-face-to-face service purchase behavior according to psychological characteristics after Corona 19 on consumer satisfaction.

As the perception of sports activities changes positively, the desire and popularity for sports activities are rapidly increasing. Therefore, the popularity of sporting events is also increasing. Previous studies on sporting events have focused only on research in the field of social sciences. Therefore, in this study, in order to increase customer satisfaction and customer loyalty of sports event visitors, they were classified into challenge factors, competition factors, achievement factors, and relationship factors, and their effects on satisfaction and loyalty were studied and analyzed. And based on the research design model and empirical analysis, a user-based sports event matching system was proposed.

The article presents a concept of designing a Multiplexer circuit which acts as a “Selector” and that becomes capable to select different speed created at different TTL Gate configurations; Standard TTL(Normal Speed), High Speed TTL(High Speed), Schottky TTL(Super High Speed) and further connect the selected Gate speed to the CAR shape created using C-Programming at Computer Graphics and finally CAR shape display at different speed to the color TV. The Multiplexer supporting efficient and more reliable selection criteria using “Logical based selection criteria” and further the output from multiplexer is provided to CAR shape created using c-programming and finally CAR shape is display to color TV system. Basic purposes and assumptions regarding the design and development of this system as well as a description of its operation have been presented.

In this paper, the effect of porosity on the acoustic phase velocity of the 3D printed Kelvin closed-cell structure was investigated using the spectral phase analysis. Since Kelvin cells bring about the large amount of scattering, acoustic pulses in ultrasonic measurements undergoes a distortion of waveforms due to the dispersion effect. In order to take account on the dispersion, mathematical expressions for calculating the phase velocity of longitudinal waves propagating normal to the plane of the Kelvin structure are suggested by introducing a complex wave number based on Fourier transform. 3D Kelvin structure composed of identical unit-cells, a polyhedron of 14 faces with 6 quadrilateral and 8 hexagonal faces, was developed and fabricated by 3D CAD and 3D printer to represent the micro-structure of porous materials such as aluminum foam and cancellous bone. Total nine samples of 3D Kelvin structure with different porosity were made by changing the thickness of polyhedron. Ultrasonic pulse of 1MHz center frequency was applied to the Kelvin structures for the measurement of the phase velocity of ultrasound using the TOF(time-of-flight) and the phase spectral method. From the experimental results, it was found that the acoustic phase velocity decreased linearly with the porosity.

This paper is to propose a curriculum of a subject of Enneagram which is to be open to develop key competency of university students. In the modern days of the 4th industrial revolution universities are being called for key competency-based education and innovation in education. Universities suggested various key competencies according to the university's founding philosophies. And they have been reorganizing the liberal arts curriculum in a way that it can reinforce key competencies of the students in the aspect of liberal arts education. In this paper, an example of C university which has 3 key competencies such as, citizenship, character, and creative intelligence was presented. Enneagram is a good candidate for developing self-development which is sub-competency of character.

The study examined a sentiment analysis based on Tweeter messages between contemporary pop musicians and classical music composers. Musicians of each genre were carefully selected for the sentiment analysis. Many opinion messages on Tweets that users have discussed were collected, and the messages were evaluated by using Naïve Bayes Classifier. The results demonstrated that users showed high positive sentiments for the two different genres. However, on average, the positive sentiment values for classical music composers are higher than for contemporary pop musicians. In addition, the rankings of the highest positive sentiments among contemporary pop musicians and classical music composers did not coincide with the popularity of the two different genres of musicians. This study will contribute to the study of future sentimental analysis between music and musicians.

Demand for machine learning systems continues to grow, and cloud machine learning platforms are widely used to meet this demand. Recently, the performance improvement of the application processor of smartphones has become an opportunity for the machine learning platform to move from the cloud to On-Device AI, and mobile applications equipped with machine learning functions are required. In this paper, machine learning tools for mobile applications are investigated and compared the characteristics of these tools.

The purpose of this study is to develop a walking assistance system with mobility support and life support functions so that the elderly with reduced physical ability and patients who are uncomfortable when moving can move comfortably indoors and outdoors, and help social life. An obstacle recognition sensor module that can be applied indoors and outdoors is installed on a lightweight walking aid. The purpose of this study is to develop a walking assistance system with mobility support and life support functions so that the elderly with reduced physical ability and patients who are uncomfortable when moving can move comfortably indoors and outdoors, and help social life. An obstacle recognition sensor module that can be applied indoors and outdoors is installed on a lightweight walking aid. It is a system structure of an integrated actuator and brake system that can avoid obstacles in consideration of the safety of the elderly and is easy to install on the device. In this paper, the design of a lightweight walking aid was designed to increase the convenience of the socially disadvantaged and the elderly with reduced exercise ability. In addition, in order to overcome the disadvantage of being inconvenient to use indoors due to the noise and vibration of the motor during operation, an In-Wheel type motor is applied to develop and apply a low noise, low vibration and high efficiency drive system.

With the development of information and Internet technology, traditional museums have been long followed the trend of integrating innovative technological elements into the changed museums. It is necessary that the museums seize the opportunity of the trend transforming into smart museums, the key is to grasp the characteristics and laws of the Internet era, and use Internet thinking to explore the future development path. However, there are few studies on Internet thinking among the existing results. On the other hand, most of the relevant actual case studies still focus on the micro-level, which has obvious limitations. This paper will start from the current situation and trend, focus on the Palace Museum as a case study object, and discuss the problems and characteristics, so as to put forward the thinking about the development of smart museums in four aspects to explore the optimal path of transformation for smart museums.

Recently, rapid climate change has had a significant impact on the ecosystem of honeybees. In addition, the problem of Vespa Hornets invasion of colonies has a fatal impact on the bee ecosystem, independent of climate change. Especially in late summer. This study relates to a method for preventing Vespa Hornets attack. In this study, we developed a Vespa Hornets sound detection device was developed by collecting and analyzing the sound of a Vespa Hornets and applying IoT technology. The developed device detects the sound of a Vespa Hornets when Vespa Hornets appears around the hive of the bees and sends a signal to automatically close the door of the beehive. The device that receives the signal drives the motor that controls the honeycomb door to close the beehive door. The Vespa Hornets sound detection device operates until no Vespa Hornets sound is detected. The system developed by us is expected to be installed in the beehives of actual beekeeping farms to dramatically reduce the damage caused by by Vespa Hornets.

The world is paying a lot of attention to digital twins to preoccupy future technological competitiveness. Digital twins can be used in various fields such as manufacturing, medical care, and cities. Various market research institutes predict that the market size of digital twins will gradually expand. Korea has also selected digital twin as one of the representative tasks of the Korean version of the New Deal and is promoting related policies. However, a common platform or standard for building digital twins is not enough. Interoperability is a very important characteristic for the purpose of creating new value through interconnection between digital twins rather than independently developing and utilizing digital twins. The Digital Twin Consortium is an international council for the effective development and utilization of digital twins, and is working to solve the problem of digital twin interoperability. The Digital Twin Consortium recently published the 'Digital Twin System Interoperability Framework', and this paper analyzes the digital twin interoperability based on it.